/// <summary>
/// 模
/// </summary>
/// <param name="image">图片对象</param>
/// <returns></returns>
public static Image Model(this Bitmap image)
{
using (Mat src = image.ToMat())
{
using (Mat sobelX = new Mat())
{
Cv2.Sobel(src, sobelX, MatType.CV_8U, 1, 0, 3, 0.4, 128);
using (Mat sobelY = new Mat())
{
Cv2.Sobel(src, sobelY, MatType.CV_8U, 0, 1, 3, 0.4, 128);
Cv2.Sobel(src, sobelX, MatType.CV_16S, 1, 0);
Cv2.Sobel(src, sobelY, MatType.CV_16S, 0, 1);
// 计算L1模
using (Mat sobel = sobelX.Abs() + sobelY.Abs())
{
double sobmin, sobmax;
OpenCvSharp.Point minLoc, maxLoc;
Cv2.MinMaxLoc(sobel, out sobmin, out sobmax, out minLoc, out maxLoc);
using (Mat sobelL1Image = new Mat())
{
sobel.ConvertTo(sobelL1Image, MatType.CV_8U, -255.0 / sobmax, 255);
return(sobelL1Image.ToBitmap());
}
}
}
}
}
}
public void Do(IVideo video)
{
Mat frame = video.GetNextFrame();
while (frame != null)
{
frame.ConvertTo(frame, MatType.CV_16SC3);
Cv2.Subtract(frame, background, difference, _histChessboardModel.SquaresMask);
difference = difference.Abs().ToMat();
ShowDiff();
bool[,] squareState = EstimateSquareStates(difference);
stateRenderer.Render(squareState);
frame = video.GetNextFrame();
}
}
